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ai with ai: Countering AI Classifiers, and Introducing Doubt to AI

/our-media/podcasts/ai-with-ai/season-1/1-13

Andy and Dave discuss a newly announced method of attack on the speech-to-text capability DeepSpeech, which introduces noise to an audio waveform so that the AI does not hear the original message, but instead hears a message that the attacker intends. They also discuss the introduction of probabilistic models to AI as a way for AI to "embrace uncertainty" and make better decisions (or perhaps doubt whether or not humans should remain alive). And finally, Andy and Dave discuss some recent applications of AI to different areas of scientific study, particularly in the examination of very large data sets.

large data sets. Countering AI Classifiers, and Introducing Doubt to AI TOPICS From images to voice Targeted Attacks on Speech-to-Text DeepSpeech Adversarial Spheres AI systems that   doubt   themselves: AI will make better decisions by embracing uncertainty Google and Others Are Building AI Systems That Doubt Themselves Edward   programming language Pyro ... is changing how we do science. Get a glimpse. CERN Releases 300 Terabytes Worth Of Data To The Public AI physicists: The machines cracking the quantum code Engineering:   Can computers

ai with ai: Life Is Like a Box of Matrices

/our-media/podcasts/ai-with-ai/season-3/3-38

Andy and Dave start with COVID-related AI news, and efforts from the Roche Data Science Coalition for UNCOVER (the United Network for COVID-19 Data Exploration and Research), which includes a dataset of a curated collection of over 200 publicly available COVID-19 related datasets; efforts from Akai Kaeru are included. The Biomedical Engineering Society publishes an overview of emerging technologies to combat COVID-19. Zetane Systems uses machine learning to search the DrugVirus database and information from the National Center for Biotechnology to identify existing drugs that might be effective against COVID. And researchers at the Walter Reed Army Institute of Research are using machine learning to narrow down a space of 41 million compounds to identify candidates for further testing. And the IEEE hosted a conference on 9 July, "Does your COVID-19 tracing app follow you forever?" In non-COVID-related AI news, MIT takes offline the TinyImages dataset, due to its inclusion of derogatory terms and images. The second (actually first) wrongful arrest from facial recognition technology (again by the Detroit Police Department) comes to light. Appen Limited releases its annual "State of AI and ML" report, with a look at how businesses are (or aren’t) considering AI technologies. Anaconda releases its 2020 State of Data Science survey results. And the International Baccalaureate Educational Foundation turn to machine learning algorithms to predict student grades, due to COVID-related cancelations of actual testing, and much to the frustration of numerous students and parents. Research from the Vector Institute and the University of Toronto tackles analogy and the Raven Progressive Matrices with an ensemble of three neural networks for objects, attributes, and relationships. Researchers at the University of Sydney and the Imperial College London have established CompEngine, a collection of time-series data (over 24,000 initially) from a variety of fields, and have placed them into a common feature space; CompEngine then self-organizes the information based on empirical properties. Garfinkel, Shevtsov, and Guo make Modeling Life available for free. Meanwhile, Russell and Norvig release the not-so-free 4th Edition of AI: A Modern Approach. Lex Fridman interviews Norvig in a video podcast. And Elias Henriksen creates the Computer Prophet, which generates metaphors from a database of collected sayings.

a dataset of a curated collection of over 200 publicly available COVID-19 related datasets; efforts from Akai Kaeru are included. The Biomedical Engineering Society publishes an overview of emerging technologies to combat COVID-19. Zetane Systems uses machine learning to search the DrugVirus database and information from the National Center for Biotechnology to identify existing drugs that might ... Announcements / News - "Just" AI MIT pulls offline huge dataset that taught AI systems to use racist, misogynistic slurs Announcement Paper about problems with dataset Facial

cna-pss-price-list

/documents/corporate/cna-pss-price-list.pdf

and principles of engineering in the design, development, and utilization of machines, materials, instruments, processes, and systems. Services may involve any of the following activities: provision of advice ... to professional engineering services; operation and maintenance, evaluation of inspection, testing, and maintenance program for fire protection and life safety systems, program/project management ... , program evaluations, acquisitions planning, requirements analysis and concept development, enterprise data and information management, testing and maintenance, network systems engineering

cna talks: Linking Supply Chains After a Disaster

/our-media/podcasts/cna-talks/2019/7/linking-supply-chains-after-a-disaster

With the hurricane season around the corner, this episode of CNA Talks explores the importance of supply chains and communication in the aftermath of a disaster. CNA’s Delilah Barton and Lars Hanson are experts in emergency preparedness, strategy and planning. They discuss CNA’s work helping cities, states and the federal government respond to disasters.

Management Professional.  Lars Hanson serves as a research scientist at CNA. He is an expert in infrastructure systems, natural resources, planning and decision support, environmental modeling, disaster ... water stress analysis, environmental impacts of energy infrastructure development, and energy-water nexus analysis for the power sector. Hanson has an MS in water resources engineering from Tufts University, and a BS in civil engineering and public policy from Carnegie Mellon University.  Related Materials Learn more about CNA expertise on supply chain resilience :  Video: Supply Chain

cna talks: A New Tool to Protect First Responders

/our-media/podcasts/cna-talks/2024/01/a-new-tool-to-protect-first-responders

As cities across the country become more networked and connected with smart sensors, more data is available to first responders than ever before. But how can this data be interpreted efficiently in emergencies where every second counts? In this episode, John Crissman and Shaelynn Hales from CNA and Godfrey Nolan, founder and CEO of RIIS LLC, join the show. We discuss their award-winning First Responder Awareness Monitoring during Emergencies (FRAME) System, which takes in data from these sensors, uses machine learning to interpret the information, and aggregates that into a common data view to increase emergency situational awareness.

of CNA’s Center for Data Management Analytics. She is an expert in systems engineering, data management, data analytics, and integrated program management support. John Crissman   is a Research Analyst

story-of-cna

/documents/corporate/story-of-cna.pdf

to Boodman: “Applications to traffic systems, supermarket check stands, and myriad other service systems filled the journals.” 1950 –1953 On Land and Sea in Korea 19In the course the war ... through the rest of the decade. Phil DePoy, who was hired in 1959 with a master’s degree in nuclear engineering and partway through his Ph.D., says that in that era, “Navy strike forces were mostly ... for transforming the Navy. The resulting Project 60 depended in part on insights from a team of analysts in CNA’s Systems Evaluation Group. DePoy, who headed that group, and OEG Director Erv Kapos